דרושים Software Engineer - Full Stack Itc ב-Nike ב-India, Bengaluru

You'll have -

• Bachelor's degree in Computer Science, Engineering or similar field of relevant education

• Minimum 7+ years of experience in software engineering, with a focus on cloud infrastructure engineering in an multi cloud ecosystem including architecture, deployment and management of enterprise cloud solutions.

• Extensive hands on experience with major cloud platforms such as AWS, Azure, or Google Cloud

• Strong hands-on programming skills in languages such as Python, GoLang, Java, JavaScript

• Experience delivering cloud solution designs, installation, and configuration using IaC (Infrastructure as Code) and automation tools, such as Terraform, Rundeck, Jenkins, CloudFormation, GitHub Actions is a must

• Experience in designing, implementing, and managing control plane architectures for cloud environments, ensuring efficient orchestration, security, and governance of cloud resources is pre

• Hands-on experience implementing and supporting modern software architectural principles and patterns (REST, domain-driven design, Devops, microservices, etc.)

• Experience with front-end web application technologies (JavaScript, CSS, html5, React, other UI Frameworks etc.) is a plus

• Experience with implementing and integrating AI, Machine Learning, GenAi and related data solutions is preferred.

• Experience working in mature agile product development model

• Strong leadership skills with the ability to mentor and guide a team of cloud engineers, and excellent collaboration skills to work effectively with cross-functional teams and stakeholders.

WHO YOU’LL WORK WITH

We are looking for self-driven, highly motivated and passionate problem solvers who satisfy the following criteria:

• Bachelor’s degree in computer science, Engineering, or related field

• 5+ years of relevant software development experience

• Hands-on expertise in Automation Anywhere A360 platform

• Proven experience delivering complex enterprise business process automation solutions

• Working knowledge of scripting languages such as Node.js or Python

• Solid experience working with APIs and databases

• Strong understanding of Agile methodologies and modern development practices

• Excellent problem-solving and communication skills

• Ability to work independently, take initiative, and drive outcomes

Bonus Points For

• Automation Anywhere A360 Advanced Developer Certification

• Experience with bot migrations across automation platforms

• Familiarity with Microsoft Power Automate

• Exposure to AWS cloud offerings such as lambdas, EC2, S3, DynamoDB

• Experience in integrating automation solutions with AIML offerings

• Awareness of performance trade-offs and IT/information security governance best practices

• Working knowledge of CI/CD pipelines and DevOps practices

• Prior experience working with cross functional teams and stakeholders

WHAT YOU’LL WORK ON

As a Software Engineer III, you'll play a key role in designing and delivering automation-driven solutions to streamline business processes and improve operational efficiency. You’ll work on well-defined problems, lead solution design, and drive execution end-to-end—with minimal supervision.

You’ll collaborate with architects, product owners, and fellow engineers to build scalable, secure, and performant solutions while mentoring junior teammates and sharing best practices across the organization.

Key Responsibilities

• Design scalable solutions for well-defined business challenges with minimal guidance

• Lead development and delivery of technical solutions that meet business needs and align with Nike’s architectural standards

• Analyze system performance and recommend enhancements to improve efficiency and scalability

• Guide and mentor junior developers through code reviews and technical discussions

• Drive knowledge-sharing across the team through learning sessions, deep dives, and retrospectives

• Take full ownership of features and solutions spanning 2–3 sprint cycles

• Contribute to innovation by facilitating brainstorming and crowdsourcing of new ideas.

WHO YOU’LL WORK WITH

As a Lead Data Engineer, you will be responsible for designing, building, and maintaining scalable data pipelines and analytics solutions. As a Lead Data Engineer, you will play a key role in ensuring that our data products are robust and capable of supporting our Advanced Analytics and Business Intelligence initiatives.

• Bachelor’s degree or higher in Computer Science, Engineering, or a related field, or equivalent experience.

• An experienced data engineer with 6+ years in data engineering and at least 2 years in technical leadership roles.

• Deep hands-on expertise with Databricks, Snowflake, Spark, Delta Lake, and Apache Airflow (or similar workflow management tools).

• Expert in SQL and Spark optimization techniques.

• Strong command of Medallion architecture and data modeling.

• Experience integrating ML/GenAI pipelines is a plus.

• Exposure to Tableau or other BI tools.

• Strong leadership skills with a proven ability to lead and mentor data engineering teams.

• Excellent problem-solving skills and the ability to design solutions for complex data challenges.

• Skilled in collaborating cross-functionally and mentoring engineers.

• Effective communicator, able to work cross-functionally and translate technical concepts for non-technical stakeholders.

• Preferred: Experience with Kafka/Kinesis or real-time data processing, and certifications in Databricks or Spark (strongly preferred).

WHAT YOU’LL WORK ON

• Architect and lead the development of scalable data pipelines and platform features.

• Translate business needs into technical solutions in collaboration with product teams, business stakeholders, and data science teams.

• Enforce best practices across teams, including governance, quality, and coding standards.

• Lead code reviews, pair programming, and mentoring.

• Troubleshoot complex systems and optimize distributed pipelines.

• Automate deployments using CI/CD and DevOps practices.

WHO YOU’LL WORK WITH

As a Senior Data Engineer, you will play a key role in ensuring that our data products are robust and capable of supporting our Data Engineering and Business Intelligence initiatives.

A data engineer with 2+ years of experience in data engineering.

• Proficient in SQL, Python, PySpark, and Apache Airflow (or similar workflow management tools).

• Hands-on experience with Databricks, Snowflake, and cloud platforms (AWS/GCP/Azure).

• Good understanding of Spark, Delta Lake, Medallion architecture, and ETL/ELT processes.

• Solid data modeling and data profiling skills.

• Familiarity with Agile methodologies (Scrum/Kanban).

• Awareness of DevOps practices in data engineering (automated testing, security administration, workflow orchestration)

• Exposure to Kafka or real-time data processing

• Strong communication and collaboration skills.

• Preferred:

  • familiarity with Tableau or similar BI tools

  • exposure to GenAI/ML pipelines

• Nice to have: Databricks certifications for data engineer, developer, or Apache Spark.

WHAT YOU’LL WORK ON

• Build and maintain ETL/ELT pipelines and reusable data components.

• Collaborate with peers and stakeholders to gather data requirements.

• Participate in code reviews and contribute to quality improvements.

• Monitor and troubleshoot data pipelines for performance and reliability.

• Support CI/CD practices in data engineering workflows.

• A seasoned data engineering leader with 12+ years of experience in data engineering and at least 3 years in people or technical leadership roles.

• Proven expertise in Databricks, Snowflake, Spark, Delta Lake, Airflow, and cloud platforms (preferably AWS).

• Strong background in integrating ML/GenAI into data platforms.

• Deep understanding of data modelling, performance tuning, platform scalability, Data Lakes, Medallion architecture, and Delta Lakes.

• Experience with CI/CD pipelines, version control (Git), and DevOps practices in a data engineering context.

• Excellent leadership, mentoring, and team-building skills.

• Strong problem-solving abilities and the capability to design solutions for complex data challenges.

• Effective communicator, able to translate complex technical concepts for non-technical stakeholders and work cross-functionally.

• Bachelor’s degree or higher in Computer Science, Engineering, or a related field, or equivalent experience.

• Preferred: Experience with Kafka/Kinesis or real-time data streaming, Databricks certifications, and familiarity with Tableau or other analytical tools.

WHAT YOU’LL WORK ON

• Lead and grow a high-performing team of data engineers and analyst

• Define and drive the team’s technical roadmap in alignment with business goals.

• Oversee the development of scalable data platforms, architecture, and best practices.

• Drive the implementation of governance, CI/CD, and operational excellence.

• Coach engineers, manage performance, and foster a collaborative culture.

• Partner with cross-functional leaders to align priorities and execution.

• Ensure technical delivery and solution quality across initiatives.

The Technical Program Manager I is a leader, a coach, and a teammate who is focused on getting the job done and always improving. They understand agile principles and can apply those to a variety of teams and working styles to deliver against our most important priorities. The Technical Program Manager I can collaborate with both technical and business stakeholders from different cultures and geographies to move work forward and align people to a single vision. Using strong facilitation skills, they can facilitate effective team meetings that create an environment of inclusion and trust while holding themselves and teammates accountable.

• 1+ years experience as a Technical Program Manager, product manager, or engineer

• Understanding of agile principles and practices and how to apply these to grow high performing teams

• Experience with Jira, Trello, VersionOne, or other Agile Portfolio Management tools

• SAFe, Certified Scrum Master, or other agile professional certifications are a plus

• Bachelor's Degree, or equivalent combination experience and training

You will be accountable for helping engineering managers deliver a portfolio aligned to enterprise goals and leveraging agile principles to do so. You are responsible for helping the team collaborate and improve their ways of working, coordinating with other Technical Program Managers to help manage dependencies, and remove blockers.

• Interface with business partners and other Technical Program Managers to support a team’s backlog development

• Coordinate with global teammates to enable Quarterly Planning and align team backlogs to enterprise priorities

• Support several engineering teams based in India using agile practices with a focus on continuous improvement

• Hold a team to enterprise standards while allowing them flexibility when needed to deliver to their full potential

• Collaborate with other Technical Program Managers and the Portfolio team to continuously improve our delivery practices across Converse Technology

WHO YOU’LL WORK WITH

As a Senior Data Engineer, you will play a key role in ensuring that our data products are robust and capable of supporting our Data Engineering and Business Intelligence initiatives.

• A data engineer with 5+ years of experience working with cloud-native platforms.

• Advanced skills in SQL, PySpark, Apache Airflow (or similar workflow management tools), Databricks, and Snowflake.

• Deep understanding of Spark optimization, Delta Lake, and Medallion architecture.

• Strong experience in data modeling and data quality practices.

• Experience with Tableau for data validation and monitoring.

• Exposure to DevOps practices, CI/CD, Git, and security aspects.

• Effective mentorship and team collaboration skills.

• Strong communication skills, able to explain technical concepts clearly.

• Experience with Kafka or other real-time systems

• Preferred:

  • Familiarity with ML/GenAI integration into pipelines.

  • Databricks Data Engineer certification.

WHAT YOU’LL WORK ON

• Own and optimize large-scale ETL/ELT pipelines and reusable frameworks.

• Collaborate with cross-functional teams to translate business requirements into technical solutions.

• Guide junior engineers through code reviews and design discussions.

• Monitor data quality, availability, and system performance.

• Lead CI/CD implementation and improve workflow automation.